Partitioning 3D Surface Meshes Using Watershed Segmentation
IEEE Transactions on Visualization and Computer Graphics
Hierarchical mesh decomposition using fuzzy clustering and cuts
ACM SIGGRAPH 2003 Papers
Intelligent Mesh Scissoring Using 3D Snakes
PG '04 Proceedings of the Computer Graphics and Applications, 12th Pacific Conference
Robust Centerline Extraction Framework Using Level Sets
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Hierarchical mesh segmentation based on fitting primitives
The Visual Computer: International Journal of Computer Graphics
Mesh Segmentation - A Comparative Study
SMI '06 Proceedings of the IEEE International Conference on Shape Modeling and Applications 2006
A planar-reflective symmetry transform for 3D shapes
ACM SIGGRAPH 2006 Papers
Harmonic skeleton for realistic character animation
SCA '07 Proceedings of the 2007 ACM SIGGRAPH/Eurographics symposium on Computer animation
Defining and computing curve-skeletons with medial geodesic function
SGP '06 Proceedings of the fourth Eurographics symposium on Geometry processing
Consistent mesh partitioning and skeletonisation using the shape diameter function
The Visual Computer: International Journal of Computer Graphics
Skeleton extraction by mesh contraction
ACM SIGGRAPH 2008 papers
Fast mesh segmentation using random walks
Proceedings of the 2008 ACM symposium on Solid and physical modeling
Curve-Skeleton Extraction Using Iterative Least Squares Optimization
IEEE Transactions on Visualization and Computer Graphics
Randomized cuts for 3D mesh analysis
ACM SIGGRAPH Asia 2008 papers
Mesh scissoring with minima rule and part salience
Computer Aided Geometric Design - Special issue: Geometry processing
A new CAD mesh segmentation method, based on curvature tensor analysis
Computer-Aided Design
A multi-stage approach for 3D teeth segmentation from dentition surfaces
ICISP'10 Proceedings of the 4th international conference on Image and signal processing
Active co-analysis of a set of shapes
ACM Transactions on Graphics (TOG) - Proceedings of ACM SIGGRAPH Asia 2012
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Tooth segmentation has an important role in computer-aided orthodontics. However, fine segmentation results remain difficult to obtain because of various tooth shapes, complex tooth arrangements, and especially, tooth-crowding problems. Most published approaches or commercial solutions in this area are either interaction-intensive or inaccurate, and thus, we propose a novel tooth segmentation approach based on morphologic skeleton for scanned dental meshes. Strict single-vertex width boundaries are obtained through improved morphologic skeleton technique. The skeleton describes the topological relationship among different dental parts on meshes and is exploited by automatic adjacent teeth separation. The morphologic skeleton technique eliminates dependence on a complex, precise mesh feature estimation and is implemented efficiently. The characteristics of the skeleton also facilitate effective teeth separation. Our techniques significantly reduce user interactions and are robust to various levels of tooth-crowding problems. We have conducted experiments on clinical dental models, thus demonstrating the effectiveness of the proposed approach.